business analyst

analyst

cloudera data engineer

data analyst

data engineer

data scientist

Virtusa

<div>
 As the Data Scientist at First Abu Dhabi Bank within the Data &amp; Artificial Intelligence division, you will work on the strategic Development of machine learning technologies to transform business processes.
 <br/>
 <br/>
 Drive the identification and evaluation of new business opportunities through the application of advanced machine learning techniques.
 <br/>
 <br/>
  Oversee the data analytics lifecycle, from data preprocessing and modelling to implementation and performance monitoring, ensuring adherence to technical and timeline specifications.
 <br/>
 <br/>
  Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems, design experiments and test business hypothesis.
 <br/>
 <br/>
  Champion the integration of machine learning technologies (SAS mandatory as well as python intermediate) and methodologies into existing and future business operations.
 <br/>
 <br/>
  Facilitate the ongoing monitoring and maintenance of deployed solutions, ensuring they deliver consistent value and adapt to new business needs or data insights.
 <br/>
 <br/>
  Develop Innovative and effective approaches to solve business problems using analytics and communicate results and methodologies.
 <br/>
 <br/>
  Bachelor&rsquo;s degree in computer science, Engineering, Mathematics, Statistics, or related
 <br/>
 <br/>
 field; Additional Degree or certifications in the field related to data science/Analytics ispreferred.
 <br/>
 <br/>
  Minimum of 5+ years in machine learning, data science, or a related field using SAS EG 8.3 or above, SAS Viya, python.
 <br/>
 <br/>
  Advanced proficiency in programming languages in SAS Base, EMiner,
 <br/>
 <br/>
  Advanced Hands-on Programming experience in Python.
 <br/>
 <br/>
  Hands on Experience of working on Dataiku Platform for production is required
 <br/>
 <br/>
  Azure Databricks and AWS knowledge is a plus
 <br/>
 <br/>
  Deep understanding of machine learning, statistical modelling, data mining, and artificial intelligence principles and techniques.
 <br/>
 <br/>
  Expertise in cloud technologies and architectures for machine learning Development, with hands-on experience in SAS, Azure data bricks as well as Dataiku.
 <br/>
 <br/>
  Strong analytical skills with the ability to solve complex problems and provide practical solutions that align with business strategies.
 <br/>
 <br/>
  SAS, Dataiku certifications would be added advantage.
</div>


Data Scientist

Spotify

<div><div><div><div><div><div>Data, Research &amp; Insights</div></div></div><div><div>
Data Science</div></div></div><div><div>
Permanent</div></div><div><div>
Dubai</div></div><div><div><div>
<p>
We are looking for a Data Scientist to join the Business Analytics team at Spotify. You will work with the Regional Analytics Lead to evaluate and influence our growth strategy in Asia Pacific&rsquo;s exciting and diverse landscape.</p>
<p>
You will collaborate with a distributed team of world-class analysts, data scientists, business leaders, marketers, and engineers. Learning and improving is part of our daily routine, and you will get a platform to develop your data skills and carve out efficient ways of working.</p>
<p>
The Business Analytics team is part of Spotify&rsquo;s core business strategy organization. You&rsquo;ll play a crucial role in the growth and direction of Spotify as we grow to 760M+ users around the globe.</p>
<p>
At your fingertips, you&rsquo;ll have access to all the data Spotify has to offer, and the opportunity to be creative with how you use it to derive insights and strategies. Above all, your work will impact the way the world experiences audio (and video)!</p>
</div></div></div></div><div><div><p>
What You'll Do
</p><ul><div><ul><li>Develop data driven strategies to drive the growth of Spotify users and subscribers</li>
<li>Identify new user growth levers in the SAMEA region and use experimentation to help drive that growth</li>
<li>Create and communicate impactful recommendations and models that improve our product offering, user messaging, and channel optimization</li>
<li>Build scalable data pipelines and dashboards to facilitate business performance tracking</li>
<li>Work closely with business partners to understand the change they are driving and help them discover new opportunities for growth</li>
<li>Design and implement comprehensive tests, making sure that we track all relevant metrics and that we&rsquo;re learning at every step along the way</li>
<li>Present your findings to senior collaborators, influencing the course of our business</li>
</ul>
</div></ul></div></div><div><div><p>Who You Are</p><ul><div>
<ul>
<li>You have a least 2+ years of professional experience synthesizing insights from data using tools such as Python/R, SQL</li>
<li>Experience with distributed systems and cloud data platforms (BigQuery or GCP) is a plus</li>
<li>Experience with AI tools (LLMs and coding assistants) is a plus</li>
<li>Intellectually curious, creative, and diligent - you enjoy thinking about the business as much as about the data</li>
<li>Have experience collaborating with partners to measure the impact of business/marketing initiatives and presenting those findings in coherent recommendations</li>
<li>Have a background in Economics, Computer Science, Statistics, Engineering or a relevant field</li>
<li>Comfortable working on a globally distributed team (with occasional international travel)</li>
<li>Relevant experience in a consumer tech/product company is a plus</li>
</ul>
</div></ul></div></div><div><div><p>Where You'll Be
</p><ul><ul><li>This role will be based at Spotify&rsquo;s office in Dubai</li>
<li>We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home</li>
</ul></ul></div></div><div><div><p>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Dataiku

<div>
 Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack &mdash; empowering organizations to run AI across multi-vendor environments with centralized governance.
 <br/>
 <br/>
 The world&rsquo;s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
 <br/>
 <br/>
 The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.
 <br/>
 <br/>
 Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.
 <br/>
 <br/>
 <strong>
  In This Role, You'll Help The Team
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Co-develop production-level data science projects with our customers
  </li>
  <li>
   Analyse and investigate various kinds of data and machine learning applications across industries and use cases
  </li>
  <li>
   Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
  </li>
  <li>
   Provide data science expertise both to customers and internally to Dataiku&rsquo;s sales and marketing teams
  </li>
  <li>
   Develop custom Python-based &ldquo;plugins&rdquo; in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku&rsquo;s functionality
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You might be a good fit for the role if you have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   English - fluent, Arabics - fluent/native will be a big plus
  </li>
  <li>
   Curiosity and a desire to learn new topics and skills
  </li>
  <li>
   Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku&rsquo;s customers, and the general public
  </li>
  <li>
   The ability to clearly explain complex topics to technical as well as non-technical audiences
  </li>
  <li>
   2 - 10 years of experience with Python and SQL
  </li>
  <li>
   2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
  </li>
  <li>
   Familiarity with data visualisation in Python and R
  </li>
  <li>
   Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Skills That May Help You In The Role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with Consulting and/or Customer-facing Data Science roles
  </li>
  <li>
   Experience with Data Engineering or MLOps
  </li>
  <li>
   Experience developing WebApps in JavaScript, RShiny, or Dash
  </li>
  <li>
   Experience building APIs
  </li>
  <li>
   Experience using enterprise data science tools
  </li>
  <li>
   Passion for teaching or public speaking
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What are you waiting for!
  <br/>
  <br/>
 </strong>
 At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you&rsquo;d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
 <br/>
 <br/>
 <em>
  Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at:
 </em>
 reasonable-accommodations@dataiku.com
 <br/>
 <br/>
 <strong>
  Protect yourself from fraudulent recruitment activity
  <br/>
  <br/>
 </strong>
 <em>
  Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
  <br/>
  <br/>
 </em>
</div>


Senior Data Scientist

Five Hotels and Resorts

<div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><p><b>An Exhilarating Opportunity</b></p><p></p><p><br>
Are You Ready for a Daring Challenge with The World&rsquo;s Hottest Luxury Hotel Group? Disruptive by Design, FIVE Hotels and Resorts is Redefining &lsquo;FIVE-Star&rsquo; Hospitality and Setting the Gold Standard across the Industry.</p><p></p><p><br>
Join the FIVE Tribe - and Get Ready to Make Waves.</p><p></p><p><b><br>
The Candidate</b></p><p></p><p><br>
A Driven Self-Starter, you have Excellent Communication, Leadership and Organisational Skills. As an Astute Creative and Critical Thinker, you can Conceptualise and Implement Innovative Solutions in a Fast-Paced Environment. Not even the Smallest Detail Escapes Your Keen Eye and You Execute Tasks Proactively with Precision and Finesse. A &lsquo;Can-Do!&rsquo; Attitude Coupled with An Inherent Flair for Taking Ownership Makes You a Highly Motivated Go-Getter.</p><p></p><p><br>
Your Outgoing and Approachable Nature enables you to Seamlessly Connect with other &lsquo;FIVERs&rsquo; and key Stakeholders, ensuring that Their and Your Journey at FIVE is nothing short of Sensational. Joining our Digital Marketing Team as a Data Scientist / AI Engineer Intern will Empower you to deliver Exceptional Experiences across our award-winning Lifestyle Destinations. Jump on Board and Unlock your Potential in a Buzzing Environment that will take your Career to New Heights!</p><div></div><p><b><br>
What We&rsquo;re Looking For</b></p><br>
<div></div><ul><li>
Currently pursuing or recently completed a Master&rsquo;s Degree (or final year of a Bachelor&rsquo;s) in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, or a related field.<br>
</li><li>
Availability for a 6-month Internship, ideally as part of an End-of-Studies Academic Requirement.<br>
</li><li>
Demonstrated hands-on experience through Internships, Research, or Personal Projects involving Data or AI Systems.<br>
</li><li>
Strong proficiency in Python, PySpark and SQL, supported by a solid understanding of Data Engineering, Statistics and Analytical Concepts.<br>
</li><li>
Foundational knowledge of Machine Learning techniques including Classification, Regression and Model Evaluation.<br>
</li><li>
Familiarity with AI/LLM Systems, including API integrations, workflows and performance monitoring.<br>
</li><li>
Basic exposure to Cloud Environments (AWS preferred), including storage (S3) and compute services.<br>
</li><li>
Understanding of Data Pipelines, APIs and Data Ingestion processes.<br>
</li><li>
Strong Analytical and Problem-Solving Skills with attention to Data Accuracy and Validation.<br>
</li><li>
Excellent Communication Skills, with the ability to translate Technical Concepts into Business Insights.<br>
</li><li>
Highly Organised with the ability to Manage Priorities in a Dynamic Environment.<br>
</li><li>
A proactive, &lsquo;Can-Do!&rsquo; attitude with a passion for Building Real-World AI Solutions.</li></ul><div></div><p><b><br>
Key Responsibilities</b></p><div><b><br>
</b><br>
</div><ul><li>Design, Build and Deploy AI and Data-Driven Solutions with Direct Business Impact across Marketing, Revenue and Guest Experience.<br>
</li><li>
Develop Conversational AI Agents, including Web-Based and WhatsApp Solutions, to automate Guest Interactions such as Restaurant Reservations.<br>
</li><li>
Engineer Marketing Intelligence Systems that analyse complex advertising data (Meta, TikTok, Google) to generate High-Impact Recommendations.<br>
</li><li>
Support Hotel Revenue Optimisation by modelling Demand, Occupancy Trends and Real-Time Market Data.<br>
</li><li>
Build and Enhance Machine Learning Recommendation Engines to deliver Personalised Guest Experiences and Offers.<br>
</li><li>
Own a Core Project End-to-End, from Problem Structuring and Technical Design to Deployment and Iteration.<br>
</li><li>
Collaborate with cross-functional Teams to understand Business Needs and translate them into Scalable Data Solutions.<br>
</li><li>
Ensure Data Accuracy, Model Performance and Reliability through Testing, Monitoring and Continuous Improvement.<br>
</li><li>
Contribute to the Development of Data Pipelines, APIs and Scalable Infrastructure.<br>
</li><li>
Present Insights and Technical Outputs in a Clear, Structured and Business-Relevant manner to Stakeholders.</li></ul><p></p><div><b><br>
The Team</b></div><p></p><p><br>
&lsquo;FIVERs&rsquo; are Cultured yet Chic, Confident yet Self-Effacing, and Work Hard to Play even Harder. As a FIVE Tribe Member, you'll Personify the distinct &lsquo;Vibe at FIVE&rsquo; and apply it to create Insta-Perfect Experiences for our Guests that keeps them Coming Back for More. If you Dream of being surrounded by Like-Minded Individuals who share your Passion for Delivering Unforgettable Moments that last a Lifetime &ndash; then Look No Further and Unleash your Next-Level Potential.</p><p></p><p><b><br>
Sustainable Indulgence at FIVE</b></p><p></p><p><br>
FIVE is a leader in Sustainable Luxury Living and Hospitality, with its UAE-based Destinations being the first and only Hotels in the UAE to obtain the International Renewable Energy Certificates (I-REC) for achieving 100% renewable electricity for 2022. The company's Science-Meets-Styled &lsquo;Sustainable Indulgence&rsquo; Ethos has led to a completely LEED Platinum-certified operational hospitality portfolio. FIVE Palm Jumeirah and FIVE Jumeirah Village are also 3 Star SPIRE Rated Smart Buildings. FIVE Zurich, the only LEED Platinum hotel in Switzerland, achieved an impressive 84 Points under LEED v4's BD+C and ID+C rating system, making it one of just five hotels worldwide to receive Platinum Certification. FIVE illustrates its Commitment to making &lsquo;Sustainability without Compromise on Luxury Living&rsquo; central to its Future Vision, with FIVE LUXE already on track to acquire LEED Platinum (BD+C). These Achievements highlight FIVE&rsquo;s Comprehensive and Committed Scope of Sustainability Strategy permeating Operations, Governance and Community.</p><p></p><p><b><br>
An Equal Opportunity Employer</b></p><p></p><p><br>
The FIVE Tribe represents over 70 nationalities across its over 1500 &lsquo;FIVERs.&rsquo; FIVE is Committed to Hiring a Diverse and Inclusive Workforce as an Equal-Opportunity Employer. Accordingly, FIVE does not discriminate based on disability, race, age, sex, gender, sexual orientation, ethnicity, religion or belief, nationality, marital status, or any other basis protected under national or local laws. Ranked 10th on the Great Workplaces in the UAE 2023 list of Large Organisations, the FIVE Tribe is more than a group of people working together &ndash; it is a Family bonded by common Values and Goals, Celebrating People, Culture and Diversity.</p><p><br>
<br>
</p><p><b>About FIVE Hotels and Resorts</b></p><p></p><p><br>
FIVE Hotels and Resorts prides itself on being Disruptively Different and Daringly Unique. Our Growing Portfolio of Lavish Destinations are the epitome of Glamour and Experiential Luxury, and currently consists of FIVE Palm Jumeirah, FIVE Jumeirah Village, FIVE Zurich and FIVE LUXE. Joining our Exceptional FIVE Tribe means you are part of a team who Breaks Boundaries and offers Unbeatable Next-Level Experiences at FIVE&rsquo;s award-winning Hotels, Dining Concepts, and 360-Degree Immersive Nightlife Venues. As part of the Accomplished FIVE Tribe, you will be part of a group of High Achievers who Fearlessly Challenge Conventions on a Global Stage.</p><p></p><div><br>
Find out more here: fivehotelsandresorts.com</div></div></div><p></p>
<br><ul><div><p>Department Name</p>
<div>Digital Marketing
</div></div><div><p>Date Opened</p>
<div>05/05/2026
</div></div><div><p>Job Type</p>
<div>Full time
</div></div><div><p>Industry</p>
<div>Hospitality
</div></div><div><p>Work Experience</p>
<div>1-3 years
</div></div><div><p>City</p>
<div>Dubai
</div></div><div><p>State/Province</p>
<div>Dubayy (Dubai)
</div></div><div><p>Country</p>
<div>United Arab Emirates
</div></div><div><p>Zip/Postal Code</p>
<div>337-1500</div></div></ul>

Data Scientist / AI Engineer Intern

Revolut

<div><b>About Revolut</b><p></p><p>
People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products &mdash; including spending, saving, investing, exchanging, travelling, and more &mdash; help our 75+ million customers get more from their money every day.</p><p>
As we continue our lightning-fast growth,&zwnj; 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work&trade;. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.</p><p></p><b>
About the Internship Programme</b><p></p><p>
Our Internship Programme is designed for ambitious students who want to make their summer count. Over 8&ndash;10 paid weeks, you&rsquo;ll work on real projects, tackle meaningful challenges, and develop your skills alongside industry experts. It&rsquo;s an opportunity to learn, innovate, and build a solid foundation for your career.</p><p>
Top performers may be offered a place on our Graduate Programme the following year, giving you the opportunity to return and continue your journey at Revolut.</p><p></p><b>
About the role</b><p></p><p>
Our Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering scalable solutions that move the business forward.</p><p>
We&rsquo;re looking for Data Scientist and Analyst Interns who believe no data task is too complex. You&rsquo;ll dig into databases, uncover root causes, design smart solutions, and write the code to bring them to life.</p><p>
Up to shape what&rsquo;s next in finance? Let&rsquo;s get in touch.</p><p></p><b>
Join us from anywhere</b><p></p><p>
The Internship Programme is open to international applicants ready to relocate to one of our tech hubs in Poland, Portugal, the UAE, or the UK. We&rsquo;ll support you with visa assistance, travel costs, and accommodation (conditions apply). You&rsquo;ll be expected to spend around 3 days per week in the office (where role and location allow).</p><p></p><b>
Key dates</b><p></p><ul><li>
Applications: open from May 2026</li><li>
Recruitment process: July&ndash;December 2026</li><li>
Programme start: June / July 2027</li></ul><p></p><p><br>
Roles are filled on a rolling basis &mdash; apply early.</p><p></p><b>
What you'll be doing</b><p></p><ul><li>
Taking part in a hands-on bootcamp and working on real projects across multiple teams</li><li>
Helping to build analytical tools and machine learning models (such as dashboards and ETLs) to support product launches</li><li>
Improving visibility in user sign-up flows and operational funnels</li><li>
Enhancing and maintaining data infrastructure (including ETLs and LookML) to keep data accessible and reliable</li><li>
Collaborating with teams across Operations, Growth, and Product to refine features and uncover insights</li><li>
Supporting decision-making with ad-hoc analysis (e.g., interest rate sensitivity, incentive profitability, conversion rates)</li><li>
Learning from industry leaders and staying aligned with team priorities through weekly meetings</li><li>
Managing tasks, tracking progress, and communicating key outcomes</li><li>
Sharing updates with our global teams</li><li>
Receiving regular feedback to guide your development</li></ul><p></p><b>
What you'll need</b><p></p><ul><li>
To be in your penultimate year of a bachelor&rsquo;s or master&rsquo;s degree in computer science, maths, physics, or a similar field (graduating in 2028)</li><li>
Impressive Python and SQL skills</li><li>
An interest or experience in analytics engineering, product analytics, data science, or ML engineering</li><li>
A solid foundation in maths and statistics</li><li>
A proactive, results-driven mindset</li><li>
Fluency in English</li><li>
Great communication, organisational, and problem-solving skills</li><li>
To be comfortable working in a fast-paced, diverse team environment</li><li>
Full-time availability for summer 2027</li><li>
The ability to attend a Revolut office in your country of employment at least 3 days per week (this is a hybrid role)</li></ul><p></p><b>
Compensation range</b><p></p><ul><li>
Krakow: PLN7,600 - PLN7,600 gross monthly*</li><li>
Poland: PLN7,600 - PLN7,600 gross monthly*</li><li>
Other locations: Compensation will be discussed during the interview process</li><li>Final compensation will be determined based on the candidate's qualifications, skills, and previous experience</li></ul><p></p><p><i>
Building a global financial super app isn&rsquo;t enough. Our Revoluters are a priority, and that&rsquo;s why in 2021 we launched our inaugural D&amp;I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We&rsquo;re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That&rsquo;s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.</i></p><p><b><i>
Important notice for candidates:</i></b></p><p><i>
Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.</i></p><ul><li><b><i>Only apply through official Revolut channels.</i></b><i> We don&rsquo;t use any third-party services or platforms for our recruitment.</i></li><li><b><i>Always double-check the emails you receive.</i></b><i> Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.</i></li></ul><p><b><i>
We won't ask for payment or personal financial information during the hiring process.</i></b><i> If anyone does ask you for this, it&rsquo;s a scam. Report it immediately.</i></p><p><i>
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's </i><i>Candidate Privacy Notice</i></p></div>

Internship Programme 2027: Data Scientist and Analyst

<div><b>About Revolut</b><p></p><p>
People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products &mdash; including spending, saving, investing, exchanging, travelling, and more &mdash; help our 75+ million customers get more from their money every day.</p><p>
As we continue our lightning-fast growth,&zwnj; 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work&trade;. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.</p><p></p><b>
About the Graduate Programme</b><p></p><p>
Our Graduate Programme is built for ambitious graduates who want to launch their careers in fintech. Over this 12-month programme, you&rsquo;ll work on real projects, solve complex challenges, and make an impact from day one. With structured training and hands-on experience, you&rsquo;ll grow your skills while exploring different areas of the business.</p><p>
Top performers can be promoted during or after the programme, giving you the chance to continue your journey at Revolut.</p><p></p><b>
About the role</b><p></p><p>
Our Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering scalable solutions that move the business forward.</p><p>
We&rsquo;re looking for Graduate Data Scientists and Analysts who are analytical, curious, and ready to deliver impact with data.</p><p>
Up to shape what's next in finance? Let&rsquo;s get in touch.</p><p></p><b>
Join us from anywhere</b><p></p><p>
The Graduate Programme is open to international applicants willing to relocate to one of our tech hubs in Poland, Portugal, Spain, the UK, or the UAE. We&rsquo;ll support you with visa assistance, travel costs, and accommodation (conditions apply). You&rsquo;ll be expected to spend around 3 days per week in the office (where role and location allow).</p><p></p><b>
Key dates</b><p></p><ul><li>
Applications: open from May 2026</li><li>
Recruitment process: July&ndash;December 2026</li><li>
Programme start: early 2027 (January&ndash;June) or late 2027 (July&ndash;December)</li></ul><p></p><p><br>
Roles are filled on a rolling basis, so apply early. You can specify your preferred intake during the recruitment process.</p><p></p><b>
What you'll be doing</b><p></p><ul><li>
Taking part in a hands-on bootcamp and working on real projects across multiple teams</li><li>
Helping to build analytical tools and machine learning models (such as dashboards and ETLs) to support product launches</li><li>
Improving visibility in user sign-up flows and operational funnels</li><li>
Enhancing and maintaining data infrastructure (including ETLs and LookML) to keep data accessible and reliable</li><li>
Collaborating with teams across Operations, Growth, and Product to refine features and uncover insights</li><li>
Supporting decision-making with ad-hoc analysis (e.g., interest rate sensitivity, incentive profitability, conversion rates)</li><li>
Learning from industry leaders and staying aligned with team priorities through weekly meetings</li><li>
Managing tasks, tracking progress, and communicating key outcomes</li><li>
Sharing updates with our global teams</li><li>
Receiving regular feedback to guide your development</li></ul><p></p><b>
What you'll need</b><p></p><ul><li>
A predicted or achieved 2:1 (or equivalent grade) in computer science, maths, physics, or a related field</li><li>
To have graduated in 2025, 2026, or 2027</li><li>
Impressive Python and SQL skills</li><li>
A solid foundation in maths and statistics</li><li>
An interest in analytics engineering, product analytics, data science, or ML engineering</li><li>
Great problem-solving skills and a proactive mindset</li><li>
Fluency in English and excellent communication skills</li><li>
Full-time availability from early or late 2027</li><li>
The ability to attend a Revolut office in your country of employment at least 3 days per week (this is a hybrid role)</li></ul><p></p><b>
Compensation range</b><p></p><ul><li>
Krakow: PLN12,600 - PLN12,600 gross monthly*</li><li>
Poland: PLN12,600 - PLN12,600 gross monthly*</li><li>
Other locations: Compensation will be discussed during the interview process</li><li>Final compensation will be determined based on the candidate's qualifications, skills, and previous experience</li></ul><p></p><p><i>
Building a global financial super app isn&rsquo;t enough. Our Revoluters are a priority, and that&rsquo;s why in 2021 we launched our inaugural D&amp;I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We&rsquo;re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That&rsquo;s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.</i></p><p><b><i>
Important notice for candidates:</i></b></p><p><i>
Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.</i></p><ul><li><b><i>Only apply through official Revolut channels.</i></b><i> We don&rsquo;t use any third-party services or platforms for our recruitment.</i></li><li><b><i>Always double-check the emails you receive.</i></b><i> Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.</i></li></ul><p><b><i>
We won't ask for payment or personal financial information during the hiring process.</i></b><i> If anyone does ask you for this, it&rsquo;s a scam. Report it immediately.</i></p><p><i>
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's </i><i>Candidate Privacy Notice</i></p></div>

Graduate Programme 2027: Data Scientist and Analyst

sandan AI

<div><p><b>Location:</b> Berlin / Remote (DACH time zone)<br>
<b>Employment Type:</b> Full-time, permanent<br>
<b>Start Date:</b> Immediate<br>
<b>Language:</b> Native-level English proficiency (C1-C2 level, German a bonus)</p>
<p>
_____________________</p>
<p><b>
ABOUT US</b></p>
<p>
sandan AI is a Berlin-based AI-native startup serving enterprise customers across the DACH region. We are shaping what marketing looks like in an agentic economy &mdash; and building the platform on which this new generation of marketing workflows runs.</p>
<p>
Our ambition is to build software the way software should be built in 2026: agentic, iterative, and with AI as an integral part of the engineering workflow.</p>
<p><b>
HOW WE WORK</b></p>
<p>
We use code harnesses such as Claude Code and Codex not as gimmicks, but as a core part of our development process. Our engineers work daily with agentic coding workflows &mdash; from architecture sketches and implementation to refactoring and testing.</p>
<p>
People joining us either already work productively with these tools or bring the clear motivation to learn and master them quickly and deeply.</p>
<h2 class="jobSectionHeader"><b>
Tasks</b></h2>
<ul><li>Develop and maintain our full-stack applications within the modern JavaScript/TypeScript ecosystem</li>
<li>Design and implement scalable backend services using Node.js and Nest.js</li>
<li>Build high-performance frontend solutions with React.js and Next.js</li>
<li>Design and optimize relational databases (PostgreSQL, MySQL, MS SQL)</li>
<li>Containerize and orchestrate services using Docker and Kubernetes</li>
<li>Develop and integrate REST APIs</li>
<li>Build and operate data pipelines, feature stores, and ML workflows for our agentic systems</li>
<li>Develop, train, and evaluate machine learning models for marketing use cases (attribution, targeting, forecasting, anomaly detection)</li>
<li>Implement Retrieval-Augmented Generation (RAG) pipelines (embeddings, vector stores, re-ranking)</li>
<li>Set up and maintain LLM evaluation frameworks, prompt optimization workflows, and systematic quality benchmarks</li>
<li>Apply code harnesses (especially Claude Code and Codex) throughout the daily development process &mdash; from planning and implementation to code review</li>
<li>Collaborate closely with the founding team on the product architecture of agentic systems</li>
</ul><h2 class="jobSectionHeader"><b>Requirements</b></h2>
<p><b>
Core Technical Competencies (Engineering)</b></p>
<ul>
<li>Several years of professional experience in full-stack development</li>
<li>Strong knowledge of TypeScript and JavaScript</li>
<li>Confident working with React.js, Next.js, Node.js, and Nest.js</li>
<li>Experience with relational databases (PostgreSQL, MySQL, MS SQL)</li>
<li>Hands-on experience with container technologies (Docker, Kubernetes)</li>
<li>Familiarity with REST API design and Git workflows</li>
</ul>
<p><b>Data Science &amp; Machine Learning</b></p>
<ul>
<li>Solid Python skills, including common data/ML stacks (pandas, NumPy, scikit-learn, PyTorch, or TensorFlow)</li>
<li>Experience across the end-to-end lifecycle of ML models: data preparation, feature engineering, training, validation, deployment, and monitoring</li>
<li>Strong understanding of statistical fundamentals (hypothesis testing, regression, classification, time series)</li>
<li>Experience with modern LLM workflows: prompt engineering, RAG, embeddings, vector databases (e.g. Pinecone, Weaviate, pgvector)</li>
<li>Hands-on experience in model evaluation: metrics, benchmarks, A/B testing, and systematic evaluation frameworks</li>
<li>Experience with notebook-based exploration environments (Jupyter, Colab) and transitioning them into production-ready pipelines</li>
<li>Familiarity with MLOps tools (e.g. MLflow, Weights &amp; Biases, DVC) is a plus</li>
</ul>
<p><b>Code Harnesses</b></p>
<ul>
<li>Experience with Claude Code and/or Codex is highly appreciated &mdash; otherwise, a strong willingness to actively learn and adopt these tools</li>
</ul>
<p><b>Personal Qualifications</b></p>
<ul>
<li>Excellent German (C2) and English skills (minimum C1)</li>
<li>Genuine interest in generative AI and agentic systems</li>
<li>Builder mentality: you deliver production-grade software, not just prototypes</li>
<li>Analytical mindset: you make data-driven decisions and critically evaluate model behavior</li>
</ul>
<p><b>Nice to have</b></p>
<ul>
<li>A defining role in an AI-native startup with a strong enterprise focus</li>
<li>Competitive salary and employee stock ownership plan (ESOP)</li>
<li>Fully funded access to all relevant code harnesses, LLM APIs, and developer tools (Claude Max, Codex, GitHub Copilot, etc.)</li>
<li>Compute budget for experiments, model training, and ML workloads</li>
<li>Modern hardware setup (MacBook Pro of your choice)</li>
<li>Flexible working hours and remote work options</li>
<li>Office in Berlin and location in Dubai (DIFC AI Campus)</li>
<li>A steep learning curve in Agentic AI, LLM orchestration, and AI-native engineering</li>
</ul><h2 class="jobSectionHeader"><b>Benefits</b></h2>
<ul><li>A defining role in an AI-native startup with a strong enterprise focus</li>
<li>Competitive salary and employee stock ownership plan (ESOP)</li>
<li>Fully funded access to all relevant code harnesses, LLM APIs, and developer tools (Claude Max, Codex, GitHub Copilot, etc.)</li>
<li>Compute budget for experiments, model training, and ML workloads</li>
<li>Modern hardware setup (MacBook Pro of your choice)</li>
<li>Flexible working hours and remote work options</li>
<li>Office in Berlin and location in Dubai (DIFC AI Campus)</li>
<li>A steep learning curve in Agentic AI, LLM orchestration, and AI-native engineering</li>
</ul>
<p>We look forward to receiving your application, including your CV and &mdash; if available &mdash; a GitHub or portfolio link.</p>
<p>
Please also let us know your earliest possible start date.</p>
<p><b>
Bonus:</b> Tell us in two or three sentences about the most recent ML project you worked on &mdash; and how you currently use Claude Code, Codex, or comparable tools in your workflow.</p></div>

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